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bloomsage
rmit-denominator/bloomsage
bloomsage is a image classification model from rmit-denominator. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
- The repository contains 3 flower classification model and 1 feature extractor model for flower recommendation. - For more specific instruction, please visit https://github.com/rmit-denominator/bloomsage-ml
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Public
Updated Dec 19, 2023
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 19, 2023
- SHA
- 0252cd08
Model card
From the Hugging Face model README
BloomSage Flower Classification and Recommendation Models
- The repository contains 3 flower classification model and 1 feature extractor model for flower recommendation.
- For more specific instruction, please visit https://github.com/rmit-denominator/bloomsage-ml
Applications
- Flower classification
- Recommender system
Selected models
- For classification, we use the basic structure of Artificial Neutral Network (ANN) and Convolutional Neutral Network (CNN).
- For the feature extractor, we constructed a Convolutional Neural Network (CNN) to extract feature vectors from user preferences image
- Apply a K-Means unsupervised machine learning model to cluster the reference image's feature vector with those of the images in our database.
Limitations
- Since our target customers are small flower shops, we just use a sample of 8 flower species with 16362 images.
How to use :
- Dependencies :
huggingface-hub,gitlfs
- Task
- Image Classification
- Library
- keras
- License
- mit
- Languages
- en
- Created
- Dec 12, 2023
- Updated
- Dec 19, 2023